Unsafe transport operation

ABSTRACT

An example operation includes one or more of determining, by one or more sensors of a transport, that the transport is unsafe to operate, providing, by the one or more sensors, sensor data related to the unsafe operation to a server, receiving, from the server, transport operating parameters, and operating the transport within the transport operating parameters. The transport operating parameters limit transport functionality and are in proportion to the sensor data.

TECHNICAL FIELD

This application generally relates to transports determined to beunsafe, and more particularly, to unsafe transport operation.

BACKGROUND

Vehicles or transports, such as cars, motorcycles, trucks, planes,trains, etc., generally provide transportation needs to occupants and/orgoods in a variety of ways. Functions related to transports may beidentified and utilized by various computing devices, such as asmartphone or a computer.

The present application provides a determination that a transport isunsafe to operate. One or more sensors of the transport provide sensordata related to one or more unsafe conditions of the transport to aserver. The server creates transport operating parameters andresponsively provides them to the transport. The transport operatingparameters limit transport functionality to a degree in proportion tothe sensor data. Finally, the transport is operated according to thetransport operating parameters.

An advantage of the present application is it improves transport safetyby allowing a transport to operate within safe transport operatingparameters. The safe operating parameters are based on a degree ofimpairment of the transport, according to sensor data. Thus, a lessunsafe transport may operate with more relaxed operating parameters anda more unsafe transport may operate with less relaxed operatingparameters.

Another advantage of the present application is it improves transportoperating efficiency and traffic flow by allowing a transport tofunctionally operate up to a level of current impairment. This meansthat a transport is not more constrained than it safely needs to be,which may improve traffic flow compared to solutions that limit allunsafe transports to a same degree.

SUMMARY

One example embodiment provides a method that includes one or more ofdetermining, by one or more sensors of a transport, that the transportis unsafe to operate, providing, by the one or more sensors, sensor datarelated to the unsafe operation to a server, receiving, from the server,transport operating parameters, and operating the transport within thetransport operating parameters. The transport operating parameters limittransport functionality and are in proportion to the sensor data.

Another example embodiment provides a transport that includes aprocessor and a memory, coupled to the processor. The memory includesinstructions that when executed by the processor are configured toperform one or more of determine, by one or more sensors of a transport,that the transport is unsafe to operate, provide, by the one or moresensors, sensor data related to the unsafe operation to a server,receive, from the server, transport operating parameters, and operatethe transport within the transport operating parameters. The transportoperating parameters limit transport functionality and are in proportionto the sensor data.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of determining, by one or more sensorsof a transport, that the transport is unsafe to operate, providing, bythe one or more sensors, sensor data related to the unsafe operation toa server, receiving, from the server, transport operating parameters,and operating the transport within the transport operating parameters.The transport operating parameters limit transport functionality and arein proportion to the sensor data.

One example embodiment provides a method that includes one or more ofdetermining, by a server, that a transport is unsafe to drive,decreasing functionality of the transport, by the server, by sending acryptographic key to the transport disabling one or more component keysof the transport, and disabling the one or more component keys.Disabling the one or more component keys results in one or more oflimiting the transport to not move greater than a speed, limiting thetransport to not come closer than a distance to another transport, andlimiting the transport to not travel greater than a threshold distance,

Another example embodiment provides a transport that includes aprocessor and a memory, coupled to the processor. The memory includesinstructions that when executed by the processor are configured toperform one or more of determine, by a server, that a transport isunsafe to drive, decrease functionality of the transport by the serversends a cryptographic key to the transport that disables one or morecomponent keys of the transport and disable, by the transport, the oneor more component keys. Disabling the one or more component keys resultsin one or more of limit the transport to not move greater than a speed,limit the transport to not come closer than a distance to anothertransport, and limit the transport to not travel greater than athreshold distance.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of determining, by a server, that atransport is unsafe to drive, decreasing functionality of the transportby the server sends a cryptographic key to the transport that disablesone or more component keys of the transport, and disabling the one ormore component keys. Disabling the one or more component keys results inlimiting the transport to not move greater than a speed, limiting thetransport to not come closer than a distance to another transport, andlimiting the transport to not travel greater than a threshold distance.

One example embodiment provides a method that includes one or more ofoperating, by a transport, within a boundary and determining, by thetransport, that the operating of the transport within the boundary isdesired to be exceeded. In response to a consensus based on one or moreoperations of the transport and one or more occupant characteristics ofthe transport, the method includes operating, by the transport, withinthe exceeded boundary.

Another example embodiment provides a transport that includes aprocessor and a memory, coupled to the processor. The memory includesinstructions that when executed by the processor are configured toperform one or more of operate, by the transport, within a boundary anddetermine, by the transport, that it is desired to operate the transportat an exceeded boundary. In response to a consensus based on one or moreoperations of the transport and one or more occupant characteristics ofthe transport, the transport operates within the exceeded boundary.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of operating, by a transport, within aboundary and determining, by the transport, that the operating of thetransport within the boundary is desired to be exceeded. In response toa consensus based on one or more operations of the transport and one ormore occupant characteristics of the transport, the instructions areconfigured to perform operating, by the transport, within the exceededboundary.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A illustrates an example diagram illustrating a transportindicating unsafe operation, according to example embodiments.

FIG. 1B illustrates an example diagram illustrating limiting transportoperation with a cryptographic key, according to example embodiments.

FIG. 1C illustrates an example diagram illustrating expanding transportboundaries, according to example embodiments.

FIG. 2A illustrates a transport network diagram, according to exampleembodiments.

FIG. 2B illustrates another transport network diagram, according toexample embodiments.

FIG. 2C illustrates yet another transport network diagram, according toexample embodiments.

FIG. 2D illustrates a further transport network diagram, according toexample embodiments.

FIG. 2E illustrates a further transport network diagram, according toexample embodiments.

FIG. 3A illustrates a flow diagram, according to example embodiments.

FIG. 3B illustrates another flow diagram, according to exampleembodiments.

FIG. 3C illustrates another flow diagram, according to exampleembodiments.

FIG. 4 illustrates a machine learning transport network diagram,according to example embodiments.

FIG. 5A illustrates an example vehicle configuration for managingdatabase transactions associated with a vehicle, according to exampleembodiments.

FIG. 5B illustrates another example vehicle configuration for managingdatabase transactions conducted among various vehicles, according toexample embodiments.

FIG. 6A illustrates a blockchain architecture configuration, accordingto example embodiments.

FIG. 6B illustrates another blockchain configuration, according toexample embodiments.

FIG. 6C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments.

FIG. 6D illustrates example data blocks, according to exampleembodiments.

FIG. 7 illustrates an example system that supports one or more of theexample embodiments.

DETAILED DESCRIPTION

It will be readily understood that the instant components, as generallydescribed and illustrated in the figures herein, may be arranged anddesigned in a wide variety of different configurations. Thus, thefollowing detailed description of the embodiments of at least one of amethod, apparatus, non-transitory computer readable medium and system,as represented in the attached figures, is not intended to limit thescope of the application as claimed but is merely representative ofselected embodiments.

The instant features, structures, or characteristics as describedthroughout this specification may be combined in any suitable manner inone or more embodiments. For example, the usage of the phrases “exampleembodiments”, “some embodiments”, or other similar language, throughoutleast this specification refers to the fact that a particular feature,structure, or characteristic described in connection with the embodimentmay be included in at one embodiment. Thus, appearances of the phrases“example embodiments”, “in some embodiments”, “in other embodiments”, orother similar language, throughout this specification do not necessarilyall refer to the same group of embodiments, and the described features,structures, or characteristics may be combined in any suitable manner inone or more embodiments. In the diagrams, any connection betweenelements can permit one-way and/or two-way communication even if thedepicted connection is a one-way or two-way arrow. In the currentapplication, a transport may include one or more of cars, trucks,motorcycles, scooters, bicycles, boats, recreational vehicles, planes,and any object that may be used to transport people and or goods fromone location to another.

In addition, while the term “message” may have been used in thedescription of embodiments, the application may be applied to many typesof network data, such as, a packet, frame, datagram, etc. The term“message” also includes packet, frame, datagram, and any equivalentsthereof. Furthermore, while certain types of messages and signaling maybe depicted in exemplary embodiments they are not limited to a certaintype of message, and the application is not limited to a certain type ofsignaling.

Example embodiments provide methods, systems, components, non-transitorycomputer readable media, devices, and/or networks, which provide atleast one of: a transport (also referred to as a vehicle herein) a datacollection system, a data monitoring system, a verification system, anauthorization system and a vehicle data distribution system. The vehiclestatus condition data, received in the form of communication updatemessages, such as wireless data network communications and/or wiredcommunication messages, may be received and processed to identifyvehicle/transport status conditions and provide feedback as to thecondition changes of a transport. In one example, a user profile may beapplied to a particular transport/vehicle to authorize a current vehicleevent, service stops at service stations, and to authorize subsequentvehicle rental services.

Within the communication infrastructure, a decentralized database is adistributed storage system which includes multiple nodes thatcommunicate with each other. A blockchain is an example of adecentralized database which includes an append-only immutable datastructure (i.e. a distributed ledger) capable of maintaining recordsbetween untrusted parties. The untrusted parties are referred to hereinas peers, nodes or peer nodes. Each peer maintains a copy of thedatabase records and no single peer can modify the database recordswithout a consensus being reached among the distributed peers. Forexample, the peers may execute a consensus protocol to validateblockchain storage entries, group the storage entries into blocks, andbuild a hash chain via the blocks. This process forms the ledger byordering the storage entries, as is necessary, for consistency. In apublic or permissionless blockchain, anyone can participate without aspecific identity. Public blockchains can involve cryptocurrencies anduse consensus based on various protocols such as proof of work (PoW). Onthe other hand, a permissioned blockchain database provides a systemwhich can secure interactions among a group of entities which share acommon goal, but which do not or cannot fully trust one another, such asbusinesses that exchange funds, goods, information, and the like. Theinstant application can function in a permissioned and/or apermissionless blockchain setting.

Smart contracts are trusted distributed applications which leveragetamper-proof properties of the shared or distributed ledger (i.e., whichmay be in the form of a blockchain) database and an underlying agreementbetween member nodes which is referred to as an endorsement orendorsement policy. In general, blockchain entries are “endorsed” beforebeing committed to the blockchain while entries which are not endorsedare disregarded. A typical endorsement policy allows smart contractexecutable code to specify endorsers for an entry in the form of a setof peer nodes that are necessary for endorsement. When a client sendsthe entry to the peers specified in the endorsement policy, the entry isexecuted to validate the entry. After validation, the entries enter anordering phase in which a consensus protocol is used to produce anordered sequence of endorsed entries grouped into blocks.

Nodes are the communication entities of the blockchain system. A “node”may perform a logical function in the sense that multiple nodes ofdifferent types can run on the same physical server. Nodes are groupedin trust domains and are associated with logical entities that controlthem in various ways. Nodes may include different types, such as aclient or submitting-client node which submits an entry-invocation to anendorser (e.g., peer), and broadcasts entry-proposals to an orderingservice (e.g., ordering node). Another type of node is a peer node whichcan receive client submitted entries, commit the entries and maintain astate and a copy of the ledger of blockchain entries. Peers can alsohave the role of an endorser, although it is not a requirement. Anordering-service-node or orderer is a node running the communicationservice for all nodes, and which implements a delivery guarantee, suchas a broadcast to each of the peer nodes in the system when committingentries and modifying a world state of the blockchain, which is anothername for the initial blockchain entry which normally includes controland setup information.

A ledger is a sequenced, tamper-resistant record of all statetransitions of a blockchain. State transitions may result from smartcontract executable code invocations (i.e., entries) submitted byparticipating parties (e.g., client nodes, ordering nodes, endorsernodes, peer nodes, etc.). An entry may result in a set of assetkey-value pairs being committed to the ledger as one or more operands,such as creates, updates, deletes, and the like. The ledger includes ablockchain (also referred to as a chain) which is used to store animmutable, sequenced record in blocks. The ledger also includes a statedatabase which maintains a current state of the blockchain. There istypically one ledger per channel. Each peer node maintains a copy of theledger for each channel of which they are a member.

A chain is an entry log which is structured as hash-linked blocks, andeach block contains a sequence of N entries where N is equal to orgreater than one. The block header includes a hash of the block'sentries, as well as a hash of the prior block's header. In this way, allentries on the ledger may be sequenced and cryptographically linkedtogether. Accordingly, it is not possible to tamper with the ledger datawithout breaking the hash links. A hash of a most recently addedblockchain block represents every entry on the chain that has comebefore it, making it possible to ensure that all peer nodes are in aconsistent and trusted state. The chain may be stored on a peer nodefile system (i.e., local, attached storage, cloud, etc.), efficientlysupporting the append-only nature of the blockchain workload.

The current state of the immutable ledger represents the latest valuesfor all keys that are included in the chain entry log. Because thecurrent state represents the latest key values known to a channel, it issometimes referred to as a world state. Smart contract executable codeinvocations execute entries against the current state data of theledger. To make these smart contract executable code interactionsefficient, the latest values of the keys may be stored in a statedatabase. The state database may be simply an indexed view into thechain's entry log, it can therefore be regenerated from the chain at anytime. The state database may automatically be recovered (or generated ifneeded) upon peer node startup, and before entries are accepted.

A blockchain is different from a traditional database in that theblockchain is not a central storage but rather a decentralized,immutable, and secure storage, where nodes must share in changes torecords in the storage. Some properties that are inherent in blockchainand which help implement the blockchain include, but are not limited to,an immutable ledger, smart contracts, security, privacy,decentralization, consensus, endorsement, accessibility, and the like.

Example embodiments provide a way for providing a vehicle service to aparticular vehicle and/or requesting user associated with a user profilethat is applied to the vehicle. For example, a user may be the owner ofa vehicle or the operator of a vehicle owned by another party. Thevehicle may require service at certain intervals and the service needsmay require authorization prior to permitting the services to bereceived. Also, service centers may offer services to vehicles in anearby area based on the vehicle's current route plan and a relativelevel of service requirements (e.g., immediate, severe, intermediate,minor, etc.). The vehicle needs may be monitored via one or more sensorswhich report sensed data to a central controller computer device in thevehicle, which in turn, is forwarded to a management server for reviewand action.

A sensor may be located on one or more of the interior of the transport,the exterior of the transport, on a fixed object apart from thetransport, and on another transport near to the transport. The sensormay also be associated with the transport's speed, the transport'sbraking, the transport's acceleration, fuel levels, service needs, thegear-shifting of the transport, the transport's steering, and the like.The notion of a sensor may also be a device, such as a mobile device.Also, sensor information may be used to identify whether the vehicle isoperating safely and whether the occupant user has engaged in anyunexpected vehicle conditions, such as during the vehicle access period.Vehicle information collected before, during and/or after a vehicle'soperation may be identified and stored in a transaction on ashared/distributed ledger, which may be generated and committed to theimmutable ledger as determined by a permission granting consortium, andthus in a “decentralized” manner, such as via a blockchain membershipgroup.

Each interested party (i.e., company, agency, etc.) may want to limitthe exposure of private information, and therefore the blockchain andits immutability can limit the exposure and manage permissions for eachparticular user vehicle profile. A smart contract may be used to providecompensation, quantify a user profile score/rating/review, apply vehicleevent permissions, determine when service is needed, identify acollision and/or degradation event, identify a safety concern event,identify parties to the event and provide distribution to registeredentities seeking access to such vehicle event data. Also, the resultsmay be identified, and the necessary information can be shared among theregistered companies and/or individuals based on a “consensus” approachassociated with the blockchain. Such an approach could not beimplemented on a traditional centralized database.

Every autonomous driving system is built on a whole suite of softwareand an array of sensors. Machine learning, lidar projectors, radar, andultrasonic sensors all work together to create a living map of the worldthat a self-driving car can navigate. Most companies in the race to fullautonomy are relying on the same basic technological foundations oflidar+radar+cameras+ultrasonic, with a few notable exceptions.

In another embodiment, GPS, maps and other cameras and sensors are usedin autonomous vehicles without lidar as lidar is often viewed as beingexpensive and unnecessary. Researchers have determined that stereocameras are a low-cost alternative to the more expensive lidarfunctionality.

The instant application includes, in certain embodiments, authorizing avehicle for service via an automated and quick authentication scheme.For example, driving up to a charging station or fuel pump may beperformed by a vehicle operator and the authorization to receive chargeor fuel may be performed without any delays provided the authorizationis received by the service station. A vehicle may provide acommunication signal that provides an identification of a vehicle thathas a currently active profile linked to an account that is authorizedto accept a service which can be later rectified by compensation.Additional measures may be used to provide further authentication, suchas another identifier may be sent from the user's device wirelessly tothe service center to replace or supplement the first authorizationeffort between the transport and the service center with an additionalauthorization effort.

Data shared and received may be stored in a database, which maintainsdata in one single database (e.g., database server) and generally at oneparticular location. This location is often a central computer, forexample, a desktop central processing unit (CPU), a server CPU, or amainframe computer. Information stored on a centralized database istypically accessible from multiple different points. A centralizeddatabase is easy to manage, maintain, and control, especially forpurposes of security because of its single location. Within acentralized database, data redundancy is minimized as a single storingplace of all data also implies that a given set of data only has oneprimary record.

FIG. 1A illustrates an example diagram 100 illustrating a transportindicating unsafe operation, according to example embodiments. Atransport or vehicle 104 is any type of driver or driverless conveyancethat may carry one or more occupants and/or cargo. Transports 104 mayinclude cars, trucks, construction equipment, recreational vehicles, orany other form of conveyance. Unsafe operation may reflect anycombination of transport or vehicle 104 limitations, road conditions, orweather conditions. Transport or vehicle 104 unsafe operating conditionsmay include impact damage, operating failures, lack of maintenance, oran impairment of a driver in some way. Operating failures may includeglass or windshield damage, windshield wiper damage or failure, tirepressure or tire conditions, brake conditions, cooling conditions, orany other condition associated with the transport 104 itself—and mayinclude a combination of conditions.

A transport or vehicle 104 has a transport interior 104, such as theinterior of a car or truck. The interior 104 may be associated withcontrols or displays used to control movement and other parameters ofthe transport or vehicle 104. A transport 104 may have one or moresensors 108 to measure transport 104 conditions and status. Some sensors108 may be associated with components or sub-components 162 of thetransport 104, and may produce sensor data 116 indicating status of asensor 108. For example, sensor data 116 may indicate any combination ofa temperature, a pressure, an altitude, and/or an operating state.Sensor data 116 may also indicate a failure or imminent failure of acomponent or sub-component 162 or a sensor 108 itself.

In one embodiment, one or more sensors 108 provide sensor data 116 to aserver 112. The server 112 may be part of the transport 104 or locatedremotely to the transport 104, such as a cloud server 112. The server112 receives the sensor data 116 and creates transport operatingparameters 120 it transmits back to the transport 104. In oneembodiment, the transport operating parameters 120 may be created fromone group of sensor data 116. In another embodiment, the transportoperating parameters 120 may be created from multiple groups of sensordata 116. In yet another embodiment, the transport operating parameters120 may be created from sensor data 116 and other data not provided bythe transport 104. For example, the other data may include a drivingrecord or arrest record associated with a driver of the transport 104,road conditions, construction conditions, or weather conditions.

In one embodiment, a transport 104 may have a transport head-up display124 for displaying data of interest to a driver. In one embodiment, thehead-up display 124 may provide an image of an unsafe to operate messageor the transport operating parameters 128. In another embodiment, adifferent display associated with the transport 104 may provide an imageof an unsafe to operate message or the transport operating parameters132. In another embodiment, one or more transport occupants 154 maypossess an associated occupant device display 136 that may display anunsafe to operate message or the transport operating parameters 140. Inone embodiment, the transport operating parameters 120 may be presentedto one or more transport occupants 154 as one or more of a displayedimage and an audio notification.

In one embodiment, transport 104 functionality may be limited based onone or more of a type and a level of unsafe operation. In anotherembodiment, the server 112 analyzes the sensor data 116, meaning theserver 112 determines a type and level of unsafe operation. Thetransport operating parameters 120 may reflect the type and level ofunsafe operation. The transport operating parameters 120 may alsoreflect a difference between a normal transport 104 functionality and anunsafe transport 104 functionality, and/or information on how to rectifythe unsafe operation. In some embodiments, the unsafe operation may bedue to one or more of an issue with the transport 104, erratic drivingassociated with the transport 104, weather conditions, and roadconditions.

In another embodiment, the server 112 may receive sensor data 116 andproposed operating parameters from one or more sensors 108 of atransport 104. The sensor data 116 may be provided by the transport 104in response to the transport 104 determining it is unsafe to operate.The server 112 may obtain one or more of weather and road conditions inproximity to the transport 104, and in response determine revisedoperating parameters for the transport 104 based on one or more of theproposed operating parameters, the weather conditions, and the roadconditions. The server 112 may then provide the revised operatingparameters 120 to the transport 104, and the transport 104 may beoperated in accordance with the revised operating parameters 120. In oneembodiment, the sensor data 116 may include a driver identifier. In thatcase, the server 112 may obtain a driving history that corresponds tothe driver identifier and determine the revised operating parametersbased on the driving history and one or more of the proposed operatingparameters, the weather conditions, and the road conditions. In oneembodiment, the revised operating parameters may reflect a differencebetween a normal transport 104 functionality and an unsafe transport 104functionality, or include information on how to repair the unsafeoperation.

In one embodiment, the sensor data 116 may be received as part of afirst blockchain transaction, where the server 112 may validate thefirst transaction and provide the validated first transaction to becommitted to a shared ledger. The server 112 may also create a secondblockchain transaction including the revised operating parameters andprovide the second transaction to the transport 104. In response, thetransport 104 may validate the second transaction.

In yet another embodiment, the server 112 may receive the sensor data116 from a transport 104, calculate transport operating parameters fromthe sensor data 116, and transmit the transport operating parameters 120to the transport 104. The transport operating parameters 120 may limittransport 104 functionality in proportion to the sensor data 116.

In yet another embodiment, the sensors 108 may determine that thetransport 104 is operating with incomplete safety. In that case, theserver 112 may calculate transport operating parameter limitingtransport 104 functionality in proportion to data from the one or moresensors 108, and transmit the transport operating parameters 120 to thetransport 104. Finally, one or more of a displayed image and an audionotification of the transport operating parameters 120 may be provided.

In another embodiment, unsafe to operate may include one or more of thetransport 104 requiring changes to the transport 104 to operate safely,road conditions being currently unsafe, weather conditions beingcurrently unsafe, and visibility conditions being currently unsafe. Inanother embodiment, changes to the transport 104 to operate safelyinclude one or more of improving visibility through one or more windows,adjusting tire pressure, repairing a fluid leak, and restoring effectivebraking. In another embodiment, road conditions may include one or moreof road/tire interface, construction conditions, or potholes. Weatherconditions may include one or more of wind conditions, rain, snow, hail,and sleet, and visibility conditions may include one or more of sunposition, cloud cover, fog, darkness, window damage, and visibilitythrough one or more windows. In another embodiment, the server 112 maycalculate that the sensor data 116 indicates needed transport operatingparameters 120. Transport operating parameters 120 may include one ormore of a maximum speed, a minimum distance to other transports, and amaximum travel distance. In one embodiment, the transport 104 may relaxthe transport operating parameters 120 in response to the transport 104conforms to the transport operating parameters 120 for a period of time.The transport operating parameters 120 may be received from a devicetemporarily coupled to the transport 104. In one embodiment, thetransport operating parameters 120 may replace previous operatingparameters, where the transport may store the previous operatingparameters and restore the previous operating parameters in response tothe transport 104 conforms to the transport operating parameters 120 fora period of time. In response to the one or more sensors 108 indicatesthat the transport 104 may be less unsafe to operate, one or moretransport operating parameters 120 may be relaxed. Relaxing one or moretransport operating parameters 120 may be performed in proportion to adegree of improvement of the sensor data 116. Further limiting thetransport operating parameters 120 may occur in response to worseningsensor data 116. In response to receiving one or more complaints aboutthe transport operating parameters 120 from other transports 178 oroccupants of the other transports 178, one or more transport operatingparameters 120 may be temporarily reduced.

FIG. 1B illustrates an example diagram 150 illustrating limitingtransport operation with a cryptographic key, according to exampleembodiments. A transport or vehicle 104 may have one or more transportoccupants 154, which may or may not include a driver. In someembodiments, a transport or vehicle 104 may have no occupants 154, andinstead be used for cargo delivery or another purpose.

Transports 104 include transport components or sub-components 162, suchas an engine, transmission, brakes, tires, and various electronics for anavigation or entertainment system. One or more components 162 may havean associated component key 166. In one embodiment, each sub-componentof a component 162 may have its' own component key 166. In oneembodiment, component keys 166 may be physically stored in proximitywith each component 162. In another embodiment, component keys 166 maybe physically stored in a centralized storage repository within thetransport or vehicle 104. In yet another embodiment, component keys 166may be physically stored remotely from the transport or vehicle 104,such as in proximity to the server 112 or in cloud or distributedstorage. When installed, component keys 166 allow the correspondingcomponent 162 to be used. In another embodiment, a given transportcomponent 162 may have multiple keys 166 associated with it, where eachkey 166 may allow a different level of component 162 functionality to beused. In this way, a first component key 166 may allow full use of acomponent 162 while a second component key 166 may allow only limiteduse of the component 162.

In one embodiment, order to operate, the software and hardware of thetransport 104 may require several of its components 162 to havecomponent keys 166. Without these keys 166, the transport 104 may not beable to operate. In one embodiment, the transport 104 may possesscapability to delete these keys 166 if a person inserts into thetransport 104 a dongle containing a cryptographic kill-key 158. Thiskill-key 158 may authorize the transport 104 to destroy one or more ofthe component keys 166, rendering the transport 104 inoperable. This mayallow an individual (for example, an insurance adjuster) to render atransport 104 inoperable if the transport 104 becomes unsafe to drive(such as a totaled vehicle).

In one embodiment, one or more sensors 108 of a transport 104 mayprovide sensor data 116 to a server 112, as previously described. Thesensor data 116 may indicate an unsafe condition of the transport 104.In response, the server 112 may determine that transport 104functionality needs to be limited in some fashion. The server 112 thensends the cryptographic key 158 to the transport 104. In one embodiment,cryptographic key 158 may provide an indication to the transport 104 tolimit one or more of a maximum speed of the transport 182, a minimumdistance from a closest other transport 174, or a maximum travel rangewithin a threshold distance 170. In one embodiment, the functionality ofa transport 104 may be increased in response to the server 112determines the transport 104 is safe to drive. In one embodiment,disabling one or more component keys 166 involves moving one or morecomponent keys 166 to a secure storage location associated with thetransport 104. In one embodiment, the server 112 may determine thetransport 104 is unsafe to drive at any speed, and disables a quantityof component keys 166 to prevent the transport 104 from moving.Disabling component keys 166 may include the transport 104 transferringthe component keys 166 to the server 112.

In one embodiment, the transport 104 may create a blockchain transactionincluding an indication the transport 104 is unsafe to drive. In oneembodiment, sending the cryptographic key 158 to the transport 104 mayvalidate the blockchain transaction and commit the transaction to ashared ledger of the blockchain network.

FIG. 1C illustrates an example diagram illustrating expanding transportboundaries 184, according to example embodiments. FIG. 1C illustrates atop view of a transport or vehicle 104 in order to depict expandedtransport operational boundaries. A transport 104 will normally includesettings in order to allow operation within boundaries. These settingsmay include limiting the speed of the transport 104, a warning when thespeed is above a predetermined limit, and so forth. Boundaries mayinclude any operational boundaries of the transport 104, including butnot limited to a maximum speed 186, a geographic boundary 190, aduration or time of day to operate the transport 104, a total operatingrange (i.e. usable fuel), or any other operational boundaries.

There may be times when the best course of action is to allow thetransport 104 to be operated outside a set boundary 186, 190, based onactions. These actions may be obvious and non-obvious. The obviousactions may include how fast the transport 104 is being operated, theserving of the transport 104 on a road, the operating of the transport104 in an erratic manner, and the like. Non-obvious actions may bewhether or not a driver of the transport 104 has both hands on asteering wheel (i.e. one hand, or no hands such as when a driver isoperating the transport 104 with a knee, for example), is the driver'shead positioned straight ahead and is the driver focusing on driving,and the like. When the transport 104 is either operated outside aboundary, or attempts to drive outside a boundary, a consensus isreached to decide whether or not to allow the change. For example, thedriver may be operating the transport 104 at a determined boundary suchas a speed 186, but the transport 104 may determines that an acceleratorpedal is being pressed such as to exceed a maximum speed.

The system may then attempt to determine whether or not the driver isallowed to exceed the set boundary 186, 190. For example, if the driverhas passed the obvious and non-obvious actions, then the transport 104may allow the transport 104 to exceed the boundary 186, 190. For exampleif a driver has a boundary set to not operate the transport 104 above 70mph 186, but the driver is attempting to exceed this speed, thetransport 104 may examine a previous obvious driving behavior of thedriver (such as any erratic behavior or swerving, a use of turn signals,a use of head lights, etc.), and the non-obvious driving behavior of thedriver (such as the placement of the hands on the steering wheel and/orthe head position or focus of the driver, the body position of thedriver, etc.). If the driver has “earned” the right to exceed theboundary 186, 190, the system will allow the operation of the transport104 outside the boundary 188, 192, such as raising the speed boundary to75 mph 188.

In another embodiment, a determined percentage or number above athreshold of obvious and non-obvious actions must be present before thesystem allows the operation of the transport 104 outside of theestablished boundary 186, 190. In another embodiment, a boundary may bean established geofence 190 such that the transport 104 may not beoperated outside of that area. In another embodiment, a boundary may besuch that the transport 104 is not to be operated past a certain,designated time.

FIG. 2A illustrates a transport network diagram 200, according toexample embodiments. The network comprises elements including atransport node 202 including a processor 204, as well as a transportnode 202′ including a processor 204′. The transport nodes 202, 202′communicate with one another via the processors 204, 204′, as well asother elements (not shown) including transceivers, transmitters,receivers, storage, sensors and other elements capable of providingcommunication. The communication between the transport nodes 202, 202′can occur directly, via a private and/or a public network (not shown) orvia other transport nodes and elements comprising one or more of aprocessor, memory, and software. Although depicted as single transportnodes and processors, a plurality of transport nodes and processors maybe present. One or more of the applications, features, steps, solutions,etc., described and/or depicted herein may be utilized and/or providedby the instant elements.

FIG. 2B illustrates another transport network diagram 210, according toexample embodiments. The network comprises elements including atransport node 202 including a processor 204, as well as a transportnode 202′ including a processor 204′. The transport nodes 202, 202′communicate with one another via the processors 204, 204′, as well asother elements (not shown) including transceivers, transmitters,receivers, storage, sensors and other elements capable of providingcommunication. The communication between the transport nodes 202, 202′can occur directly, via a private and/or a public network (not shown) orvia other transport nodes and elements comprising one or more of aprocessor, memory, and software. The processors 204, 204′ can furthercommunicate with one or more elements 230 including sensor 212, wireddevice 214, wireless device 216, database 218, mobile phone 220,transport node 222, computer 224, I/O device 226 and voice application228. The processors 204, 204′ can further communicate with elementscomprising one or more of a processor, memory, and software.

Although depicted as single transport nodes, processors and elements, aplurality of transport nodes, processors and elements may be present.Information or communication can occur to and/or from any of theprocessors 204, 204′ and elements 230. For example, the mobile phone 220may provide information to the processor 204 which may initiate thetransport node 202 to take an action, may further provide theinformation or additional information to the processor 204′ which mayinitiate the transport node 202′ to take an action, may further providethe information or additional information to the mobile phone 220, thetransport node 222, and/or the computer 224. One or more of theapplications, features, steps, solutions, etc., described and/ordepicted herein may be utilized and/or provided by the instant elements.

FIG. 2C illustrates yet another transport network diagram 240, accordingto example embodiments. The network comprises elements including atransport node 202 including a processor 204 and a non-transitorycomputer readable medium 242C. The processor 204 is communicably coupledto the computer readable medium 242C and elements 230 (which weredepicted in FIG. 2B).

The processor 204 performs one or more of the following steps. At block244C, one or more sensors 108 in a transport 104 determine the transport104 is unsafe to operate. At block 246C, the one or more sensors 108provide sensor data 116 to a server 112. The sensor data 116 reflectsthe determination the transport 104 is unsafe to operate. At block 248C,the transport 104 receives transport operating parameters 120 from theserver 112. The server 112 calculates the transport operating parameters120 from the sensor data 116. At block 250C, the transport 104 operateswithin the transport operating parameters 120, and therefore inaccordance with the sensor data 116.

FIG. 2D illustrates a further transport network diagram 260, accordingto example embodiments. The network comprises elements including atransport node 202 including a processor 204 and a non-transitorycomputer readable medium 242D. The processor 204 is communicably coupledto the computer readable medium 242D and elements 230 (which weredepicted in FIG. 2B).

The processor 204 performs one or more of the following steps. At block244D, a server 112 determines a transport 104 is unsafe to operate. Inone embodiment, the server 112 receives sensor data 116 from thetransport 104 and makes the determination based on the sensor data 116.At block 246D, the server 112 sends a cryptographic key 158 to thetransport 104 that decreases transport 104 functionality. At block 248D,the transport 104 disables one or more component keys 166 afterreceiving the cryptographic key 158. Each component 162 of the transport104 may be associated with a component key 166. Disabling a componentkey 166 limits one or more of a limited speed 182, a threshold distance170 the transport 104 may be allowed to drive, and a minimum distance toanother transport 174.

FIG. 2E illustrates a further transport network diagram 270, accordingto example embodiments. The network comprises elements including atransport node 202 including a processor 204 and a non-transitorycomputer readable medium 242E. The processor 204 is communicably coupledto the computer readable medium 242E and elements 230 (which weredepicted in FIG. 2B).

The processor 204 performs one or more of the following steps. At block244E, a transport 104 operates within a boundary. In one embodiment, aboundary is an operational limitation placed on the transport 104. Atblock 246E, the transport 104 determines it is desired to operate thetransport 104 at an exceeded boundary. An exceeded boundary may beeither an exceeded maximum speed boundary 188 or an exceeded geographicboundary 192. At block 248E, a consensus may be reached based onoperating the transport 104 and occupant characteristics of thetransport 104. At block 252E, the transport operates within the extendedboundary. In one embodiment, the boundary may limit a maximum speed 186of the transport 104. In another embodiment, the boundary may limit ageographical boundary 190 of the transport 104.

The processors and/or computer readable media may fully or partiallyreside in the interior or exterior of the transport nodes. The steps orfeatures stored in the computer readable media may be fully or partiallyperformed by any of the processors and/or elements in any order.Additionally, one or more steps or features may be added, omitted,combined, performed at a later time, etc.

FIG. 3A illustrates a flow diagram 300, according to exampleembodiments. Referring to FIG. 3A, at block 302 one or more sensors 108in a transport 104 determine the transport 104 is unsafe to operate. Atblock 304, the one or more sensors 108 provide sensor data 116 to aserver 112. The sensor data 116 reflects the determination the transport104 is unsafe to operate. At block 306, the transport 104 receivestransport operating parameters 120 from the server 112. The server 112calculates the transport operating parameters 120 from the sensor data116. At block 308, the transport 104 operates within the transportoperating parameters 120, and therefore in accordance with the sensordata 116.

FIG. 3B illustrates another flow diagram 320, according to exampleembodiments. Referring to FIG. 3B, at block 322 a server 112 determinesa transport 104 is unsafe to operate. In one embodiment, the server 112receives sensor data 116 from the transport 104 and makes thedetermination based on the sensor data 116. At block 324, the server 112sends a cryptographic key 158 to the transport 104 that decreasestransport 104 functionality. At block 326, the transport 104 disablesone or more component keys 166 after receiving the cryptographic key158. Each component 162 of the transport 104 may be associated with acomponent key 166. Disabling a component key 166 limits one or more of alimited speed 182, a threshold distance 170 the transport 104 may beallowed to drive, and a minimum distance to another transport 174.

FIG. 3C illustrates another flow diagram 330, according to exampleembodiments. Referring to FIG. 3C, at block 332, a transport 104operates within a boundary. In one embodiment, a boundary is anoperational limitation placed on the transport 104. At block 334, thetransport 104 determines it is desired to operate the transport 104 atan exceeded boundary. An exceeded boundary may be either an exceededmaximum speed boundary 188 or an exceeded geographic boundary 192. Atblock 336, a consensus may be reached based on operating the transport104 and occupant characteristics of the transport 104. Finally, at block338, the transport operates within the extended boundary. In oneembodiment, the boundary may limit a maximum speed 186 of the transport104. In another embodiment, the boundary may limit a geographicalboundary 190 of the transport 104.

FIG. 4 illustrates a machine learning transport network diagram 400,according to example embodiments. The network 400 includes a transportnode 402 that interfaces with a machine learning subsystem 406. Thetransport node includes one or more sensors 404.

The machine learning subsystem 406 contains a learning model 408 whichis a mathematical artifact created by a machine learning training system410 that generates predictions by finding patterns in one or moretraining data sets. In some embodiments, the machine learning subsystem406 resides in the transport node 402. In other embodiments, the machinelearning subsystem 406 resides outside of the transport node 402.

The transport node 402 sends data from the one or more sensors 404 tothe machine learning subsystem 406. The machine learning subsystem 406provides the one or more sensor 404 data to the learning model 408 whichreturns one or more predictions. The machine learning subsystem 406sends one or more instructions to the transport node 402 based on thepredictions from the learning model 408.

In a further embodiment, the transport node 402 may send the one or moresensor 404 data to the machine learning training system 410. In yetanother embodiment, the machine learning subsystem 406 may sent thesensor 404 data to the machine learning subsystem 410. One or more ofthe applications, features, steps, solutions, etc., described and/ordepicted herein may utilize the machine learning network 400 asdescribed herein.

FIG. 5A illustrates an example vehicle configuration 500 for managingdatabase transactions associated with a vehicle, according to exampleembodiments. Referring to FIG. 5A, as a particular transport/vehicle 525is engaged in transactions (e.g., vehicle service, dealer transactions,delivery/pickup, transportation services, etc.), the vehicle may receiveassets 510 and/or expel/transfer assets 512 according to atransaction(s). A transport processor 526 resides in the vehicle 525 andcommunication exists between the transport processor 526, a database530, a transport processor 526 and the transaction module 520. Thetransaction module 520 may record information, such as assets, parties,credits, service descriptions, date, time, location, results,notifications, unexpected events, etc. Those transactions in thetransaction module 520 may be replicated into a database 530. Thedatabase 530 can be one of a SQL database, an RDBMS, a relationaldatabase, a non-relational database, a blockchain, a distributed ledger,and may be on board the transport, may be off board the transport, maybe accessible directly and/or through a network, or be accessible to thetransport.

FIG. 5B illustrates an example vehicle configuration 550 for managingdatabase transactions conducted among various vehicles, according toexample embodiments. The vehicle 525 may engage with another vehicle 508to perform various actions such as to share, transfer, acquire servicecalls, etc. when the vehicle has reached a status where the servicesneed to be shared with another vehicle. For example, the vehicle 508 maybe due for a battery charge and/or may have an issue with a tire and maybe in route to pick up a package for delivery. A transport processor 528resides in the vehicle 508 and communication exists between thetransport processor 528, a database 554, a transport processor 528 andthe transaction module 552. The vehicle 508 may notify another vehicle525 which is in its network and which operates on its blockchain memberservice. A transport processor 526 resides in the vehicle 525 andcommunication exists between the transport processor 526, a database530, the transport processor 526 and a transaction module 520. Thevehicle 525 may then receive the information via a wirelesscommunication request to perform the package pickup from the vehicle 508and/or from a server (not shown). The transactions are logged in thetransaction modules 552 and 520 of both vehicles. The credits aretransferred from vehicle 508 to vehicle 525 and the record of thetransferred service is logged in the database 530/554 assuming that theblockchains are different from one another, or, are logged in the sameblockchain used by all members. The database 554 can be one of a SQLdatabase, an RDBMS, a relational database, a non-relational database, ablockchain, a distributed ledger, and may be on board the transport, maybe off board the transport, may be accessible directly and/or through anetwork.

FIG. 6A illustrates a blockchain architecture configuration 600,according to example embodiments. Referring to FIG. 6A, the blockchainarchitecture 600 may include certain blockchain elements, for example, agroup of blockchain member nodes 602-606 as part of a blockchain group610. In one example embodiment, a permissioned blockchain is notaccessible to all parties but only to those members with permissionedaccess to the blockchain data. The blockchain nodes participate in anumber of activities, such as blockchain entry addition and validationprocess (consensus). One or more of the blockchain nodes may endorseentries based on an endorsement policy and may provide an orderingservice for all blockchain nodes. A blockchain node may initiate ablockchain action (such as an authentication) and seek to write to ablockchain immutable ledger stored in the blockchain, a copy of whichmay also be stored on the underpinning physical infrastructure.

The blockchain transactions 620 are stored in memory of computers as thetransactions are received and approved by the consensus model dictatedby the members' nodes. Approved transactions 626 are stored in currentblocks of the blockchain and committed to the blockchain via a committalprocedure which includes performing a hash of the data contents of thetransactions in a current block and referencing a previous hash of aprevious block. Within the blockchain, one or more smart contracts 630may exist that define the terms of transaction agreements and actionsincluded in smart contract executable application code 632, such asregistered recipients, vehicle features, requirements, permissions,sensor thresholds, etc. The code may be configured to identify whetherrequesting entities are registered to receive vehicle services, whatservice features they are entitled/required to receive given theirprofile statuses and whether to monitor their actions in subsequentevents. For example, when a service event occurs and a user is riding inthe vehicle, the sensor data monitoring may be triggered, and a certainparameter, such as a vehicle charge level, may be identified as beingabove/below a particular threshold for a particular period of time, thenthe result may be a change to a current status which requires an alertto be sent to the managing party (i.e., vehicle owner, vehicle operator,server, etc.) so the service can be identified and stored for reference.The vehicle sensor data collected may be based on types of sensor dataused to collect information about vehicle's status. The sensor data mayalso be the basis for the vehicle event data 634, such as a location(s)to be traveled, an average speed, a top speed, acceleration rates,whether there were any collisions, was the expected route taken, what isthe next destination, whether safety measures are in place, whether thevehicle has enough charge/fuel, etc. All such information may be thebasis of smart contract terms 630, which are then stored in ablockchain. For example, sensor thresholds stored in the smart contractcan be used as the basis for whether a detected service is necessary andwhen and where the service should be performed.

FIG. 6B illustrates a shared ledger configuration, according to exampleembodiments. Referring to FIG. 6B, the blockchain logic example 640includes a blockchain application interface 642 as an API or plug-inapplication that links to the computing device and execution platformfor a particular transaction. The blockchain configuration 640 mayinclude one or more applications which are linked to applicationprogramming interfaces (APIs) to access and execute storedprogram/application code (e.g., smart contract executable code, smartcontracts, etc.) which can be created according to a customizedconfiguration sought by participants and can maintain their own state,control their own assets, and receive external information. This can bedeployed as an entry and installed, via appending to the distributedledger, on all blockchain nodes.

The smart contract application code 644 provides a basis for theblockchain transactions by establishing application code which whenexecuted causes the transaction terms and conditions to become active.The smart contract 630, when executed, causes certain approvedtransactions 626 to be generated, which are then forwarded to theblockchain platform 652. The platform includes a security/authorization658, computing devices which execute the transaction management 656 anda storage portion 654 as a memory that stores transactions and smartcontracts in the blockchain.

The blockchain platform may include various layers of blockchain data,services (e.g., cryptographic trust services, virtual executionenvironment, etc.), and underpinning physical computer infrastructurethat may be used to receive and store new entries and provide access toauditors which are seeking to access data entries. The blockchain mayexpose an interface that provides access to the virtual executionenvironment necessary to process the program code and engage thephysical infrastructure. Cryptographic trust services may be used toverify entries such as asset exchange entries and keep informationprivate.

The blockchain architecture configuration of FIGS. 6A and 6B may processand execute program/application code via one or more interfaces exposed,and services provided, by the blockchain platform. As a non-limitingexample, smart contracts may be created to execute reminders, updates,and/or other notifications subject to the changes, updates, etc. Thesmart contracts can themselves be used to identify rules associated withauthorization and access requirements and usage of the ledger. Forexample, the information may include a new entry, which may be processedby one or more processing entities (e.g., processors, virtual machines,etc.) included in the blockchain layer. The result may include adecision to reject or approve the new entry based on the criteriadefined in the smart contract and/or a consensus of the peers. Thephysical infrastructure may be utilized to retrieve any of the data orinformation described herein.

Within smart contract executable code, a smart contract may be createdvia a high-level application and programming language, and then writtento a block in the blockchain. The smart contract may include executablecode which is registered, stored, and/or replicated with a blockchain(e.g., distributed network of blockchain peers). An entry is anexecution of the smart contract code which can be performed in responseto conditions associated with the smart contract being satisfied. Theexecuting of the smart contract may trigger a trusted modification(s) toa state of a digital blockchain ledger. The modification(s) to theblockchain ledger caused by the smart contract execution may beautomatically replicated throughout the distributed network ofblockchain peers through one or more consensus protocols.

The smart contract may write data to the blockchain in the format ofkey-value pairs. Furthermore, the smart contract code can read thevalues stored in a blockchain and use them in application operations.The smart contract code can write the output of various logic operationsinto the blockchain. The code may be used to create a temporary datastructure in a virtual machine or other computing platform. Data writtento the blockchain can be public and/or can be encrypted and maintainedas private. The temporary data that is used/generated by the smartcontract is held in memory by the supplied execution environment, thendeleted once the data needed for the blockchain is identified.

A smart contract executable code may include the code interpretation ofa smart contract, with additional features. As described herein, thesmart contract executable code may be program code deployed on acomputing network, where it is executed and validated by chainvalidators together during a consensus process. The smart contractexecutable code receives a hash and retrieves from the blockchain a hashassociated with the data template created by use of a previously storedfeature extractor. If the hashes of the hash identifier and the hashcreated from the stored identifier template data match, then the smartcontract executable code sends an authorization key to the requestedservice. The smart contract executable code may write to the blockchaindata associated with the cryptographic details.

FIG. 6C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments. Referring to FIG.6C, the example configuration 660 provides for the vehicle 662, the userdevice 664 and a server 666 sharing information with a distributedledger (i.e., blockchain) 668. The server may represent a serviceprovider entity inquiring with a vehicle service provider to share userprofile rating information in the event that a known and establisheduser profile is attempting to rent a vehicle with an established ratedprofile. The server 666 may be receiving and processing data related toa vehicle's service requirements. As the service events occur, such asthe vehicle sensor data indicates a need for fuel/charge, a maintenanceservice, etc., a smart contract may be used to invoke rules, thresholds,sensor information gathering, etc., which may be used to invoke thevehicle service event. The blockchain transaction data 670 is saved foreach transaction, such as the access event, the subsequent updates to avehicle's service status, event updates, etc. The transactions mayinclude the parties, the requirements (e.g., 18 years of age, serviceeligible candidate, valid driver's license, etc.), compensation levels,the distance traveled during the event, the registered recipientspermitted to access the event and host a vehicle service,rights/permissions, sensor data retrieved during the vehicle eventoperation to log details of the next service event and identify avehicle's condition status, and thresholds used to make determinationsabout whether the service event was completed and whether the vehicle'scondition status has changed.

FIG. 6D illustrates blockchain blocks 680 that can be added to adistributed ledger, according to example embodiments, and contents ofblock structures 682A to 682 n. Referring to FIG. 6D, clients (notshown) may submit entries to blockchain nodes to enact activity on theblockchain. As an example, clients may be applications that act onbehalf of a requester, such as a device, person or entity to proposeentries for the blockchain. The plurality of blockchain peers (e.g.,blockchain nodes) may maintain a state of the blockchain network and acopy of the distributed ledger. Different types of blockchainnodes/peers may be present in the blockchain network including endorsingpeers which simulate and endorse entries proposed by clients andcommitting peers which verify endorsements, validate entries, and commitentries to the distributed ledger. In this example, the blockchain nodesmay perform the role of endorser node, committer node, or both.

The instant system includes a blockchain which stores immutable,sequenced records in blocks, and a state database (current world state)maintaining a current state of the blockchain. One distributed ledgermay exist per channel and each peer maintains its own copy of thedistributed ledger for each channel of which they are a member. Theinstant blockchain is an entry log, structured as hash-linked blockswhere each block contains a sequence of N entries. Blocks may includevarious components such as those shown in FIG. 6D. The linking of theblocks may be generated by adding a hash of a prior block's headerwithin a block header of a current block. In this way, all entries onthe blockchain are sequenced and cryptographically linked togetherpreventing tampering with blockchain data without breaking the hashlinks. Furthermore, because of the links, the latest block in theblockchain represents every entry that has come before it. The instantblockchain may be stored on a peer file system (local or attachedstorage), which supports an append-only blockchain workload.

The current state of the blockchain and the distributed ledger may bestored in the state database. Here, the current state data representsthe latest values for all keys ever included in the chain entry log ofthe blockchain. Smart contract executable code invocations executeentries against the current state in the state database. To make thesesmart contract executable code interactions extremely efficient, thelatest values of all keys are stored in the state database. The statedatabase may include an indexed view into the entry log of theblockchain, it can therefore be regenerated from the chain at any time.The state database may automatically get recovered (or generated ifneeded) upon peer startup, before entries are accepted.

Endorsing nodes receive entries from clients and endorse the entry basedon simulated results. Endorsing nodes hold smart contracts whichsimulate the entry proposals. When an endorsing node endorses an entry,the endorsing nodes creates an entry endorsement which is a signedresponse from the endorsing node to the client application indicatingthe endorsement of the simulated entry. The method of endorsing an entrydepends on an endorsement policy which may be specified within smartcontract executable code. An example of an endorsement policy is “themajority of endorsing peers must endorse the entry.” Different channelsmay have different endorsement policies. Endorsed entries are forward bythe client application to an ordering service.

The ordering service accepts endorsed entries, orders them into a block,and delivers the blocks to the committing peers. For example, theordering service may initiate a new block when a threshold of entrieshas been reached, a timer times out, or another condition. In thisexample, blockchain node is a committing peer that has received a datablock 682A for storage on the blockchain. The ordering service may bemade up of a cluster of orderers. The ordering service does not processentries, smart contracts, or maintain the shared ledger. Rather, theordering service may accept the endorsed entries and specifies the orderin which those entries are committed to the distributed ledger. Thearchitecture of the blockchain network may be designed such that thespecific implementation of ‘ordering’ (e.g., Solo, Kafka, BFT, etc.)becomes a pluggable component.

Entries are written to the distributed ledger in a consistent order. Theorder of entries is established to ensure that the updates to the statedatabase are valid when they are committed to the network. Unlike acryptocurrency blockchain system (e.g., Bitcoin, etc.) where orderingoccurs through the solving of a cryptographic puzzle, or mining, in thisexample the parties of the distributed ledger may choose the orderingmechanism that best suits that network.

Referring to FIG. 6D, a block 682A (also referred to as a data block)that is stored on the blockchain and/or the distributed ledger mayinclude multiple data segments such as a block header 684A to 684 n,transaction specific data 686A to 686 n, and block metadata 688A to 688n. It should be appreciated that the various depicted blocks and theircontents, such as block 682A and its contents are merely for purposes ofan example and are not meant to limit the scope of the exampleembodiments. In some cases, both the block header 684A and the blockmetadata 688A may be smaller than the transaction specific data 686Awhich stores entry data; however, this is not a requirement. The block682A may store transactional information of N entries (e.g., 100, 500,1000, 2000, 3000, etc.) within the block data 690A to 690 n. The block682A may also include a link to a previous block (e.g., on theblockchain) within the block header 684A. In particular, the blockheader 684A may include a hash of a previous block's header. The blockheader 684A may also include a unique block number, a hash of the blockdata 690A of the current block 682A, and the like. The block number ofthe block 682A may be unique and assigned in an incremental/sequentialorder starting from zero. The first block in the blockchain may bereferred to as a genesis block which includes information about theblockchain, its members, the data stored therein, etc.

The block data 690A may store entry information of each entry that isrecorded within the block. For example, the entry data may include oneor more of a type of the entry, a version, a timestamp, a channel ID ofthe distributed ledger, an entry ID, an epoch, a payload visibility, asmart contract executable code path (deploy tx), a smart contractexecutable code name, a smart contract executable code version, input(smart contract executable code and functions), a client (creator)identify such as a public key and certificate, a signature of theclient, identities of endorsers, endorser signatures, a proposal hash,smart contract executable code events, response status, namespace, aread set (list of key and version read by the entry, etc.), a write set(list of key and value, etc.), a start key, an end key, a list of keys,a Merkel tree query summary, and the like. The entry data may be storedfor each of the N entries.

In some embodiments, the block data 690A may also store transactionspecific data 686A which adds additional information to the hash-linkedchain of blocks in the blockchain. Accordingly, the data 686A can bestored in an immutable log of blocks on the distributed ledger. Some ofthe benefits of storing such data 686A are reflected in the variousembodiments disclosed and depicted herein. The block metadata 688A maystore multiple fields of metadata (e.g., as a byte array, etc.).Metadata fields may include signature on block creation, a reference toa last configuration block, an entry filter identifying valid andinvalid entries within the block, last offset persisted of an orderingservice that ordered the block, and the like. The signature, the lastconfiguration block, and the orderer metadata may be added by theordering service. Meanwhile, a committer of the block (such as ablockchain node) may add validity/invalidity information based on anendorsement policy, verification of read/write sets, and the like. Theentry filter may include a byte array of a size equal to the number ofentries in the block data 610A and a validation code identifying whetheran entry was valid/invalid.

The other blocks 682B to 682 n in the blockchain also have headers,files, and values. However, unlike the first block 682A, each of theheaders 684A to 684 n in the other blocks includes the hash value of animmediately preceding block. The hash value of the immediately precedingblock may be just the hash of the header of the previous block or may bethe hash value of the entire previous block. By including the hash valueof a preceding block in each of the remaining blocks, a trace can beperformed from the Nth block back to the genesis block (and theassociated original file) on a block-by-block basis, as indicated byarrows 692, to establish an auditable and immutable chain-of-custody.

The above embodiments may be implemented in hardware, in a computerprogram executed by a processor, in firmware, or in a combination of theabove. A computer program may be embodied on a computer readable medium,such as a storage medium. For example, a computer program may reside inrandom access memory (“RAM”), flash memory, read-only memory (“ROM”),erasable programmable read-only memory (“EPROM”), electrically erasableprogrammable read-only memory (“EEPROM”), registers, hard disk, aremovable disk, a compact disk read-only memory (“CD-ROM”), or any otherform of storage medium known in the art.

An exemplary storage medium may be coupled to the processor such thatthe processor may read information from, and write information to, thestorage medium. In the alternative, the storage medium may be integralto the processor. The processor and the storage medium may reside in anapplication specific integrated circuit (“ASIC”). In the alternative,the processor and the storage medium may reside as discrete components.For example, FIG. 7 illustrates an example computer system architecture700, which may represent or be integrated in any of the above-describedcomponents, etc.

FIG. 7 is not intended to suggest any limitation as to the scope of useor functionality of embodiments of the application described herein.Regardless, the computing node 700 is capable of being implementedand/or performing any of the functionality set forth hereinabove.

In computing node 700 there is a computer system/server 702, which isoperational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 702 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 702 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 702 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 7 , computer system/server 702 in cloud computing node700 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 702 may include, but are notlimited to, one or more processors or processing units 704, a systemmemory 706, and a bus that couples various system components includingsystem memory 706 to processor 704.

The bus represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

Computer system/server 702 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 702, and it includes both volatileand non-volatile media, removable and non-removable media. System memory706, in one embodiment, implements the flow diagrams of the otherfigures. The system memory 706 can include computer system readablemedia in the form of volatile memory, such as random-access memory (RAM)708 and/or cache memory 710. Computer system/server 702 may furtherinclude other removable/non-removable, volatile/non-volatile computersystem storage media. By way of example only, memory 706 can be providedfor reading from and writing to a non-removable, non-volatile magneticmedia (not shown and typically called a “hard drive”). Although notshown, a magnetic disk drive for reading from and writing to aremovable, non-volatile magnetic disk (e.g., a “floppy disk”), and anoptical disk drive for reading from or writing to a removable,non-volatile optical disk such as a CD-ROM, DVD-ROM or other opticalmedia can be provided. In such instances, each can be connected to thebus by one or more data media interfaces. As will be further depictedand described below, memory 706 may include at least one program producthaving a set (e.g., at least one) of program modules that are configuredto carry out the functions of various embodiments of the application.

Program/utility, having a set (at least one) of program modules, may bestored in memory 706 by way of example, and not limitation, as well asan operating system, one or more application programs, other programmodules, and program data. Each of the operating system, one or moreapplication programs, other program modules, and program data or somecombination thereof, may include an implementation of a networkingenvironment. Program modules generally carry out the functions and/ormethodologies of various embodiments of the application as describedherein.

As will be appreciated by one skilled in the art, aspects of the presentapplication may be embodied as a system, method, or computer programproduct. Accordingly, aspects of the present application may take theform of an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present application may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Computer system/server 702 may also communicate with one or moreexternal devices via an I/O device 712 (such as an I/O adapter), whichmay include a keyboard, a pointing device, a display, a voicerecognition module, etc., one or more devices that enable a user tointeract with computer system/server 702, and/or any devices (e.g.,network card, modem, etc.) that enable computer system/server 702 tocommunicate with one or more other computing devices. Such communicationcan occur via I/O interfaces of the device 712. Still yet, computersystem/server 702 can communicate with one or more networks such as alocal area network (LAN), a general wide area network (WAN), and/or apublic network (e.g., the Internet) via a network adapter. As depicted,device 712 communicates with the other components of computersystem/server 702 via a bus. It should be understood that although notshown, other hardware and/or software components could be used inconjunction with computer system/server 702. Examples, include, but arenot limited to: microcode, device drivers, redundant processing units,external disk drive arrays, RAID systems, tape drives, and data archivalstorage systems, etc.

Although an exemplary embodiment of at least one of a system, method,and non-transitory computer readable medium has been illustrated in theaccompanied drawings and described in the foregoing detaileddescription, it will be understood that the application is not limitedto the embodiments disclosed, but is capable of numerous rearrangements,modifications, and substitutions as set forth and defined by thefollowing claims. For example, the capabilities of the system of thevarious figures can be performed by one or more of the modules orcomponents described herein or in a distributed architecture and mayinclude a transmitter, receiver or pair of both. For example, all orpart of the functionality performed by the individual modules, may beperformed by one or more of these modules. Further, the functionalitydescribed herein may be performed at various times and in relation tovarious events, internal or external to the modules or components. Also,the information sent between various modules can be sent between themodules via at least one of: a data network, the Internet, a voicenetwork, an Internet Protocol network, a wireless device, a wired deviceand/or via plurality of protocols. Also, the messages sent or receivedby any of the modules may be sent or received directly and/or via one ormore of the other modules.

One skilled in the art will appreciate that a “system” could be embodiedas a personal computer, a server, a console, a personal digitalassistant (PDA), a cell phone, a tablet computing device, a smartphoneor any other suitable computing device, or combination of devices.Presenting the above-described functions as being performed by a“system” is not intended to limit the scope of the present applicationin any way but is intended to provide one example of many embodiments.Indeed, methods, systems and apparatuses disclosed herein may beimplemented in localized and distributed forms consistent with computingtechnology.

It should be noted that some of the system features described in thisspecification have been presented as modules, in order to moreparticularly emphasize their implementation independence. For example, amodule may be implemented as a hardware circuit comprising custom verylarge-scale integration (VLSI) circuits or gate arrays, off-the-shelfsemiconductors such as logic chips, transistors, or other discretecomponents. A module may also be implemented in programmable hardwaredevices such as field programmable gate arrays, programmable arraylogic, programmable logic devices, graphics processing units, or thelike.

A module may also be at least partially implemented in software forexecution by various types of processors. An identified unit ofexecutable code may, for instance, comprise one or more physical orlogical blocks of computer instructions that may, for instance, beorganized as an object, procedure, or function. Nevertheless, theexecutables of an identified module need not be physically locatedtogether but may comprise disparate instructions stored in differentlocations which, when joined logically together, comprise the module andachieve the stated purpose for the module. Further, modules may bestored on a computer-readable medium, which may be, for instance, a harddisk drive, flash device, random access memory (RAM), tape, or any othersuch medium used to store data.

Indeed, a module of executable code could be a single instruction, ormany instructions, and may even be distributed over several differentcode segments, among different programs, and across several memorydevices. Similarly, operational data may be identified and illustratedherein within modules and may be embodied in any suitable form andorganized within any suitable type of data structure. The operationaldata may be collected as a single data set or may be distributed overdifferent locations including over different storage devices, and mayexist, at least partially, merely as electronic signals on a system ornetwork.

It will be readily understood that the components of the application, asgenerally described and illustrated in the figures herein, may bearranged and designed in a wide variety of different configurations.Thus, the detailed description of the embodiments is not intended tolimit the scope of the application as claimed but is merelyrepresentative of selected embodiments of the application.

One having ordinary skill in the art will readily understand that theabove may be practiced with steps in a different order, and/or withhardware elements in configurations that are different than those whichare disclosed. Therefore, although the application has been describedbased upon these preferred embodiments, it would be apparent to those ofskill in the art that certain modifications, variations, and alternativeconstructions would be apparent.

While preferred embodiments of the present application have beendescribed, it is to be understood that the embodiments described areillustrative only and the scope of the application is to be definedsolely by the appended claims when considered with a full range ofequivalents and modifications (e.g., protocols, hardware devices,software platforms etc.) thereto.

What is claimed is:
 1. A method, comprising: identifying by a transportthat the transport is unsafe to operate based on data collected by asensor of the transport; sending, from the transport, the data to aserver; receiving, from the server, an operating parameter calculated bythe server based on the data; and limiting, by the transport, anoperational characteristic of the transport based on the operatingparameter; wherein the operating parameter is changed to a previousoperating parameter in response to an operation of the transportcomplying with the operating parameter for a certain period of time. 2.The method of claim 1, wherein the data comprises on one or more of:information identifying a type of unsafe operation, and informationidentifying a level of unsafe operation.
 3. The method of claim 1,comprising: replacing, by the transport, a previous operating parameterwith the operating parameter.
 4. The method of claim 2, wherein thelimiting an operational characteristic of the transport based on theoperating parameter further comprises: limiting the operationalcharacteristic by an amount based on the one or more of the identifiedtype of unsafe operation and the identified level of unsafe operation.5. The method of claim 1, wherein the operating parameter comprisesinformation specifying how to correct the unsafe operation.
 6. Themethod of claim 1, wherein the data comprises one or more of: dataidentifying an issue with the transport, data identifying erraticdriving associated with the transport, data identifying a weathercondition associated with the transport, and data identifying acondition of a road associated with the transport.
 7. A transport,comprising: a sensor; a memory storing one or more instruction; and aprocessor that when executing the one or more instructions is configuredto: receive data from the sensor, identify that the transport is unsafeto operate from the data; send the data to a server; receive, from theserver, an operating parameter calculated by the server based on thedata; and limit an operational characteristic of the transport based onthe operating parameter; wherein the operating parameter is changed to aprevious operating parameter in response to an operation of thetransport complying with the operating parameter for a certain period oftime.
 8. The transport of claim 7, wherein the data comprises one ormore of: information identifying a type of unsafe operation, andinformation identifying a level of unsafe operation.
 9. The transport ofclaim 7, wherein the processor is further configured to: replace aprevious operating parameter with the operating parameter.
 10. Thetransport of claim 8, wherein, when the processor is configured to limitan operational characteristic of the transport based on the operatingparameter, the processor is further configured to: limit the operationalcharacteristic by an amount based on the one or more of the identifiedtype of unsafe operation and the identified level of unsafe operation.11. The transport of claim 7, wherein the operating parameter comprisesinformation specifying how to correct the unsafe operation.
 12. Thetransport of claim 7, wherein the data comprises one or more of: dataidentifying an issue with the transport, data identifying erraticdriving associated with the transport, data identifying a weathercondition associated with the transport, and data identifying acondition of a road associated with the transport.
 13. A non-transitorycomputer readable medium comprising one or more instructions that whenexecuted by a processor of a transport cause the processor to perform:identifying that the transport is unsafe to operate based on datacollected by a sensor of the transport; sending the data to a server;receiving, from the server, an operating parameter calculated by theserver based on the data; and limiting an operational characteristic ofthe transport based on the operating parameters; wherein the operatingparameter is changed to a previous operating parameter in response to anoperation of the transport complying with the operating parameter for acertain period of time.
 14. The non-transitory computer readable mediumof claim 13, wherein the data comprises on one or more of: informationidentifying a type of unsafe operation, and information identifying alevel of unsafe operation.
 15. The non-transitory computer readablemedium of claim 13, wherein the one or more instructions further causethe processor to perform: replacing a previous operating parameter withthe operating parameter.
 16. The non-transitory computer readable mediumof claim 14, wherein the limiting an operational characteristic of thetransport based on the operating parameter further comprises: limitingthe operational characteristic by an amount based on the one or more ofthe identified type of unsafe operation and the identified level ofunsafe operation, and wherein the operating parameter comprisesinformation specifying how to correct the unsafe operation.
 17. Thenon-transitory computer readable medium of claim 13, wherein the datacomprises one or more of: data identifying an issue with the transport,data identifying erratic driving associated with the transport, dataidentifying a weather condition associated with the transport, and dataidentifying a condition of a road associated with the transport.